JOIN OUR AMSTERDAM DIGITAL DATA SCIENCE AND ANALYTICS TEAMS!

 At adidas, we believe that data is one of the most important resources, that enables us to better understand our consumer, enhance their experience and connect them to their passion. In the Digital Data Science and Digital Analytics teams, we create fact-based insights through a holistic, integrated, and actionable storytelling approach across all relevant digital marketing initiatives to help improve and shape our future digital publishing and media plans, tactics, content strategies and brand narratives.

DIGITAL DATA SCIENCE: The Digital Data Science team at adidas focuses on forecasting and pricing solutions by leveraging advanced Machine Learning models to support buying, planning, and trading decisions. They provide forecasting and price recommendations during key commercial events like Black Friday and seasonal sales periods, with solutions live across the globe.

In parallel, the team is actively evolving toward agentic AI‑powered decision support, building AI trading agents. This includes exposing pricing and forecasting capabilities through intelligent agents, orchestrating model workflows via natural‑language interactions, and embedding governed business context to ensure reliable, explainable outputs.

Operating in an Agile setup, the team collaborates closely with data engineers, ML operations engineers, solution architects, and business teams to experiment with new AI‑native workflows, improve model performance, and translate complex data science solutions into intuitive, self‑service tools for markets.

DIGITAL ANALYTICS: Digital Analytics Team at adidas is responsible for delivering cutting-edge analytics services to internal stakeholders, enabling them to make fact-based decisions. We manage the generation of insights that help adidas understand consumer behavior and performance related analytics to ultimately help drive sales.

DIGITAL PARTNER ANALYTICS:  The Digital Partner team Collaborates with the various Partner and Wholesale teams to capture reporting requirements and support Analytics team to implement these. Support the Analytics team enhancing the backend structure of our performance dashboards. Pro-actively seek for new reporting opportunities to provide our teams additional performance insights.

GROW YOUR CAPABILITIES THROUGH MEANINGFUL TASKS & PROJECTS 

• Project Contribution:
  Contribute to assigned AI and data science projects, supporting tasks such as model implementation, experimentation workflows, and integration with applications or databases.
• Reporting and Best Practices:
  Support the implementation of reporting structures for communicating model results and data-driven insights. Follow best practices in data science, experimentation, and documentation.
• Data Analysis and Visualization:
  Apply data analysis techniques to explore datasets, perform feature engineering, and support model development. Utilize visualization tools to effectively communicate findings and model outcomes.
• Machine Learning & AI:
  Support the development and implementation of machine learning models by assisting in data preparation, experimentation, and evaluation. Contribute to exploring AI agents, and RAG-based solutions to generate intelligent, scalable insights.
• Operationalization and Automation:
  Assist in automating data workflows, model pipelines, and reporting processes. Support experimentation with modern tools and frameworks for ML deployment and scalable AI solutions.

WHAT WOULD MAKE YOU A MATCH?

• Student of Data Science, Computer Science, Engineering, or a related field
• Strong problem-solving and analytical skills with a structured way of thinking
• Initial experience or coursework in machine learning or data science projects
• Strong written and verbal communication skills
• Hands-on working style with the ability to learn quickly and meet deadlines
• Agile, open-minded team player with a passion to connect sports and lifestyle with AI, technology, and innovation
• Eagerness to continuously improve oneself and to further develop own skills
• Fluent in English
• Affinity to digital tools and modern AI frameworks
• Strong MS Office skills (especially PowerPoint and Excel)
• Proficiency in Python and/or SQL; familiarity with Machine learning/Deep Learning libraries
• Exposure to LLMs, RAG, or AI agents is a plus

WHAT'S IN IT FOR YOU

• Employee discounts on products
• Chances to attend and take part in on campus events and sponsored adidas events/games
• Structured training and development, access to LinkedIn Learning, Language Training and adidas Learning Portal
• Possibility to join our mentorship program, networking opportunities or employee resource groups
• International intern community and work environment
• Regular development conversations as part of your role
• Inspiring campus with canteens, cafes, reflection rooms and sport facilities including an on-site gym (free)
• Company events focusing on sports and mental health
• Flexible and agile working arrangements (40% home office possible)
• Monthly gross allowance: 1.200,00€

ELIGIBILITY 

• Enrolled as full-time student for the complete duration of the internship 
• Candidates in penultimate year of study preferred (following the internship, students should have maximum one year to graduate)
• Availability for the full duration (6 months)  of the internship from September 2026 – January 2027
• Local to Amsterdam/Ability to relocate to Amsterdam for the full duration of the internship

KEY FACTS

• Start Date: September 1st, 2026
• Duration: 5 months
• Location: adidas Headquarters in Amsterdam

NEXT STEPS

• To apply to the role, please submit your CV. You don't have to write us a motivation letter, but if you have something to say, let us know. 
• Please apply in the same language as the job description
• If we feel like it is a match, you'll be invited to a video interview - don't worry we'll fully brief you on this.